Talks and Teaching

Invited Talks and Posters

1. A New Decomposition Paradigm for Graph-structured Nonlinear Programs via Message Passing
   March 2026, INFORMS Optimization Society Conference, Atlanta, United States.
2. On exploration of an interior mirror descent flow for stochastic nonconvex constrained problem
   November 2025, SIAM NNP, Penn State University, United States.
   July 2025, 8th International Conference of Continuous Optimization, Los Angeles, United States.
3. Developing Lagrangian-based Methods for Nonsmooth Nonconvex Optimization
   October 2025, INFORMS Annual Meeting 2025, Atlanta, United States.
4. Adam-family Methods with Decoupled Weight Decay in Deep Learning
   July 2024, 25th International Symposium on Mathematical Programming, Montreal, Canada.
5. Stochastic Bregman Subgradient Method for Nonsmooth Nonconvex Optimization Problems
   July 2024, Doctoral Forum of Computational Mathematics, Beijing, China.
6. Nonconvex Stochastic Bregman Proximal Gradient Method for Nonconvex Composite Problems
   October 2023, INFORMS Annual Meeting 2023, Phoenix, United States.
   July 2023, Poster, 1st International Congress of Basic Science, Beijing, China.
7. On Proximal Augmented Lagrangian Based Decomposition Methods for Dual Block-angular Convex Composite Programming Problems
   May 2023, SIAM Conference on Optimization, Seattle, United States.
   May 2023, SIAM Student Chapter (NUS), Singapore.

Teaching

• TA, Spring 2023, DSA 3102: Essential Data Analytics Tools: Convex Optimization, National University of Singapore.
• TA, Fall 2022, DSA 2102: Essential Data Analytics Tools: Numerical Computation, National University of Singapore.
• TA, Spring 2022, MA 3252: Linear and Network Optimization, National University of Singapore.
• TA, Fall 2021, DSA 2102: Essential Data Analytics Tools: Numerical Computation, National University of Singapore.
• TA, Fall 2020, GEH 1036: Living with Mathematics, National University of Singapore.